• DocumentCode
    1123716
  • Title

    Probabilistic models of harmonic currents produced by twelve-pulse AC/DC converters

  • Author

    Ngandui, Éloi ; Sicard, Pierre

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. du Quebec, Trois-Rivieres, Que., Canada
  • Volume
    19
  • Issue
    4
  • fYear
    2004
  • Firstpage
    1898
  • Lastpage
    1906
  • Abstract
    The probabilistic approach is an efficient mean for harmonic prediction since it allows to take into account the randomly varying operating conditions of static converters. Although the six-pulse ac/dc converter has been the subject of probabilistic modeling, little consideration has been given to the 12-pulse ac/dc converter. In high-power applications, such as large rated dc power supplies and large rated dc and ac drives, 12-pulse ac/dc converters are usually preferred since they allow to reduce system disturbances due to harmonic currents. This paper presents an analysis of the random properties of harmonic currents produced by 12-pulse ac/dc converters that operate under random variations of their dc load and voltage unbalance. The probability density functions of the amplitudes and phase angles of the harmonic currents (of orders 12 k±1 and 12 k-6±1) are established and validated by results obtained from Monte Carlo simulations.
  • Keywords
    AC-DC power convertors; Monte Carlo methods; power conversion harmonics; probability; Monte Carlo simulations; harmonic current; harmonic currents; mean harmonic prediction; power conversion; power system disturbances; probabilistic models; probability density functions; six-pulse ac-dc converter; static converters; twelve-pulse AC-DC converters; Analog-digital conversion; DC-DC power converters; Harmonic analysis; Power engineering and energy; Power supplies; Power system harmonics; Probability density function; Production; Static power converters; Voltage; Power conversion; probabilistic modeling; random harmonics; voltage unbalance;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2004.835422
  • Filename
    1339362